Chapter

New Trends in Agent-Based Complex Automated Negotiations

Volume 383 of the series Studies in Computational Intelligence pp 151-158

Date:

IAMhaggler: A Negotiation Agent for Complex Environments

  • Colin R. WilliamsAffiliated withSchool of Electronics and Computer Science, University of Southampton Email author 
  • , Valentin RobuAffiliated withSchool of Electronics and Computer Science, University of Southampton
  • , Enrico H. GerdingAffiliated withSchool of Electronics and Computer Science, University of Southampton
  • , Nicholas R. JenningsAffiliated withSchool of Electronics and Computer Science, University of Southampton

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Abstract

We describe the strategy used by our agent, IAMhaggler, which finished in third place in the 2010 Automated Negotiating Agent Competition. It uses a concession strategy to determine the utility level at which to make offers. This concession strategy uses a principled approach which considers the offers made by the opponent. It then uses a Pareto-search algorithm combined with Bayesian learning in order to generate a multi-issue offer with a specific utility as given by its concession strategy.